A5079682768- Geodetic Measurements and Engineering Structures
- 3D Surveying and Cultural Heritage
- GNSS positioning and interference
- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Inertial Sensor and Navigation
- Parallel Computing and Optimization Techniques
- Distributed and Parallel Computing Systems
- Energy Efficient Wireless Sensor Networks
- Mobile Ad Hoc Networks
- UAV Applications and Optimization
- Opportunistic and Delay-Tolerant Networks
- Hydrology and Watershed Management Studies
- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Infrared Target Detection Methodologies
- Molecular Communication and Nanonetworks
- Wireless Body Area Networks
- Vehicle emissions and performance
- Forest Ecology and Biodiversity Studies
- IoT Networks and Protocols
- Impact of Light on Environment and Health
- Hydrology and Sediment Transport Processes
- Scientific Computing and Data Management
- Soil erosion and sediment transport
Koblenz University of Applied Sciences
2020-2023
Islamic Azad University of Tafresh
2011-2022
Ferdowsi University of Mashhad
2022
Islamic Azad University, Tehran
2017
Riparian zones fulfill diverse ecological and economic functions. Sustainable management requires detailed spatial information about vegetation hydromorphological properties. In this study, we propose a machine learning classification workflow to map classes of the thematic levels Basic surface types (BA), Vegetation units (VE), Dominant stands (DO) Substrate (SU) based on multispectral imagery from an unmanned aerial system (UAS). A case study was carried out in Emmericher Ward river Rhine,...
Grid computing is a promising technology for future computering platforms. Here we survey grid environment and recommend ordinary scheduling, presentation schedualing algorithm base on PSO, discover optimum solution.
Abstract Airborne remote sensing with optical sensor systems is an essential tool for a variety of environmental monitoring applications. Depending on the size area to be monitored, either unmanned (UAVs) or manned aircraft are more suitable. For survey areas starting at several square kilometers, piloted remain preferred carrier platform. However, specific class often not considered: gyrocopter-type ultralight aircraft. These less expensive operate than conventional fixed wings....
After the increase of pollution caused by vehicle congestion, new approaches to reduce have emerged. Although regular visits technical inspection centers and car repair center can be helpful, a approach is achieve effective integration between mobile applications vehicles. This achieved using ELM327 interface, which provides data such as speed, fuel consumption, gas emission, system failure wireless interface phone. Nowadays, vehicles go for testing, costly in terms time price. paper...
Grid computing presents a new method to distributed computing, which can make virtual single image of heterogeneous resources, provide uniform applications and integrate wide spread resources in transparent resource. Some students faculty Azad university Tafresh attempt grid infrastructure achieve above goals then develope them for application. That called TafreshGrid. In this paper, we introduce the detail TafreshGrid project. Our project is devided three phases: 1) implementation Tafresh....
Up-to-date information about vegetation types and hydromorphological structures features are essential for the management of waterways. They e.g. used monitoring reporting riparian statuses their changes after river restoration consequently, numerous man-days spent on field surveys. To allow an effective survey hydromorphology in large or even inaccessible areas, a data acquisition processing workflow is being developed complementing in-situ methods with remote sensing techniques. This part...
Sustainable management of riparian zones requires detailed spatial information about vegetation and hydromorphological properties.Uncrewed aerial systems (UAS) or gyrocopters equipped with multispectral cameras yield imagery small to intermediate scale areas.Machine learning classification workflows (object based, random forest) including additional geodata trained in-situ data allow map classes substrate types different level detail.A case study was carried out in a floodplain area along...